Building AgentOps with Amazon Bedrock AgentCore (2): Observability, Evaluation, and the AgentOps Lifecycle

The core of operating agentic AI goes beyond traditional software infrastructure monitoring to monitoring the agent's Intelligence. Since agents have non-deterministic characteristics, it is necessary to continuously verify response accuracy, hallucination presence, and safety, beyond simply checking system availability.

To implement agent observability, three key signals are needed.

• Traces: Step-by-step recording of the execution trajectory, including LLM reasoning, tool selection, and result interpretation
• Metrics: Quantified indicators such as goal achievement rate, tool call accuracy, and guardrail trigger frequency
• Logs: Chain-of-thought reasoning process and detailed guardrail operation information

AgentCore Observability is based on Amazon CloudWatch, and by leveraging AWS Distro for OpenTelemetry(ADOT), it visualizes the agent's entire trajectory without code changes and provides real-time dashboards and alarms. This connects to the Evaluation stage that verifies the agent's quality, enabling continuous optimization.